|
RAR-files |
| packt.full.yolov4.pro.course.bundl-xqzt.rar |
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| packt.full.yolov4.pro.course.bundl-xqzt.r00 |
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| packt.full.yolov4.pro.course.bundl-xqzt.r01 |
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| packt.full.yolov4.pro.course.bundl-xqzt.r02 |
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| packt.full.yolov4.pro.course.bundl-xqzt.r04 |
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| packt.full.yolov4.pro.course.bundl-xqzt.r05 |
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| packt.full.yolov4.pro.course.bundl-xqzt.r06 |
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| Total size: |
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|
| Archived
files |
|
01.01-introduction.mkv
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|
39,338,882 |
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|
01.02-how_to_excel_in_this_course.mkv
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13,462,167 |
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01.03-yolov4_theory.mkv
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120,959,630 |
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01.04-installation_of_yolov4_dependencies_such_as_cuda_python_opencv.mkv
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132,393,211 |
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02.01-yolov4_object_detection_on_image_and_video.mkv
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102,838,273 |
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02.02-yolov4_darknet_explanation_with_code_and_webcam_implementation.mkv
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60,529,994 |
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02.03-social_distancing_monitoring_app.mkv
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|
112,525,337 |
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|
02.04-social_distancing_monitoring_coaching_session.mkv
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|
194,483,490 |
D7B6EB81 |
|
02.05-count_parked_cars.mkv
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70,263,900 |
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02.06-deepsort_intuition-how_deepsort_object_tracking_works.mkv
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163,134,751 |
F4C0C526 |
|
02.07-robust_tracking_with_yolov4_and_deepsort.mkv
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82,865,302 |
D644F99B |
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03.01-evolution_of_yolov1_to_yolov3.mkv
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|
127,412,689 |
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03.02-yolov5_chess_piece_detection.mkv
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198,668,207 |
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03.03-bernie_sanders_detector.mkv
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251,637,617 |
55AED499 |
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04.01-introduction_to_data_annotation.mkv
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15,851,270 |
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04.02-yolov4_format_for_image_labelling.mkv
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16,812,659 |
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04.03-yolov4_labelling_tools.mkv
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33,109,642 |
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04.04-web-scaping_data.mkv
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04.05-annotating_images_with_labelimg.mkv
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27,233,693 |
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04.06-labelling_on_video_using_labelimg.mkv
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31,856,127 |
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04.07-labelling_on_video_using_darklabel.mkv
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41,097,363 |
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04.08-label_objects_on_this_video.mkv
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|
9,644,405 |
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04.09-annotation_summary.mkv
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16,055,985 |
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04.10-data_annotation_key_takeaway.mkv
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15,745,831 |
C36D9E4E |
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05.01-introduction_how_to_create_custom_dataset.mkv
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10,259,379 |
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05.02-toolkit_for_downloading_image_datasets.mkv
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32,745,342 |
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05.03-downloading_images_from_specific_classes.mkv
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54,849,428 |
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05.04-converting_downloaded_files_to_yolov4_format.mkv
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193,834,847 |
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05.05-data_augmentation_using_rotational_transform.mkv
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54,215,625 |
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05.06-summary-key_takeaways_for_custom_datasets.mkv
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9,404,786 |
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06.01-introduction_to_training_yolov4_with_darknet_framework.mkv
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12,972,224 |
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06.02-step_1-configuring_the_files_for_training.mkv
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36,655,992 |
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06.03-step_2-creating_the_obj.names_file.mkv
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2,614,584 |
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06.04-step_3-dataset_placement_for_training.mkv
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06.05-step_4-train_test_metafiles.mkv
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11,462,121 |
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06.06-step_5-training_yolov4.mkv
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45,017,590 |
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06.07-trained_yolov4_execution_on_image_and_video_for_mask_detection.mkv
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24,869,650 |
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06.08-activity_train_on_your_own_dataset.mkv
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8,036,751 |
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06.09-when_to_stop_training.mkv
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18,693,730 |
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06.10-summary-key_takeaways.mkv
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5,932,531 |
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07.01-introduction_to_object_detection_with_pyqt.mkv
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11,559,129 |
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07.02-installing_pyqt.mkv
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17,099,224 |
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07.03-gui_layout_using_pyqt_designer.mkv
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59,014,378 |
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07.04-integrating_pyqt_with_yolov4.mkv
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33,061,397 |
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07.05-code_explanation.mkv
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49,763,280 |
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07.06-adding_gui_widgets-counting_objects.mkv
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40,766,057 |
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07.07-adding_widgets-slider_threshold.mkv
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38,026,117 |
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07.08-adding_widgets-class_filter_using_checkbox_widget.mkv
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41,809,112 |
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07.09-adding_widgets-real-time_live_plot_graph_widget.mkv
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42,013,026 |
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07.10-social_distancing_in_pyqt_activity.mkv
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|
25,220,970 |
4C56310F |
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07.11-conclusion.mkv
[b8d1a3927ab669a5]
|
7,853,119 |
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|
9781803236780_Code.zip |
1,544,401,698 |
FA36987F |
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| Total size: |
4,348,777,292 |
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|
